Samenvatting Machine Learning
Samenvatting van het vak Machine Learning, gegeven aan de Universiteit van Maastricht. Contains at least the following topics: ai regression (logistic and linear) bayesian networks graphs classification tasks/models clustering decision trees confidence intervals neural nets recommender systems support vector machine instance based learning (nearest neighbour) reinforcement learning
Geschreven voor
Documentinformatie
- Geüpload op
- 23 oktober 2021
- Aantal pagina's
- 28
- Geschreven in
- 2018/2019
- Type
- SAMENVATTING
Onderwerpen
- machine learning
- artificial intelligence
- regression
- graph
- bayesian networks
- classification
- clustering
-
decision trees
-
classifiers
-
hypothesis
-
algorithm
-
confidence interval
-
roc curve
-
bayesian learning
-
ai